Our advanced decision tree AI model analyzes real-time electrical and environmental data from your plants to accurately detect dehydration, nutrient deficiency, heat stress, and more. Take control of your agricultural management with data-driven insights.
Our AI-powered plant stress prediction system combines cutting-edge technology with agricultural expertise to deliver actionable insights for farmers and researchers.
Collect electrical and environmental data from cucumber, potato, and chilli plants using Arduino-based sensors for continuous monitoring.
Decision tree algorithms accurately classify stress types including dehydration, nutrient deficiency, heat, low light, and elevated CO₂.
Our system is trained specifically on cucumber, potato, and chilli plants, providing tailored insights for each species.
Receive clear, actionable recommendations to address detected stress conditions and optimize plant health.
Our three-step process makes plant stress detection simple and effective for agricultural management and research.
Install Arduino-based sensors in your fields to collect real-time electrical and environmental data from your plants.
Our decision tree AI model processes the data to identify specific stress patterns with high accuracy.
Receive detailed reports and actionable recommendations to address identified stress conditions.
Choose the perfect plan for your agricultural needs. All plans include access to our AI prediction API with varying request limits.
Perfect for small plant lovers
For medium to large farms
For agricultural corporations
Additional API requests: ¥0.05 per request beyond your monthly limit. Volume discounts available for annual contracts.
Join hundreds of farmers and researchers who are already using FloraMind AI to predict plant stress and increase crop yields.
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